Field Of Architectural Design Research Articles

A Study on Guesthouse Interior Space Planning Method Based on BIM Topological Relationships

Building Information Modeling (BIM) technology has revolutionized the architectural and construction industries by providing detailed digital representations of buildings, enhancing design efficiency and project management. Despite its widespread application, the utilization of BIM in optimizing interior space planning, particularly in boutique accommodations like guesthouses, remains underexplored. This research addresses the gap by introducing a novel method for interior environment space planning of guesthouses based on the topological relationships derived from BIM data. This study developed a new algorithm that utilizes detailed topology information from BIM in order to make space planning decisions more efficiently, thereby improving space utilization efficiency and guest experience. Through a comprehensive analysis of BIM topological relationships and the application of advanced optimization techniques, our method aims to optimize the use of space while considering the unique constraints and requirements of guesthouse environments. The proposed algorithm demonstrates significant improvements in spatial efficiency and design quality when tested against traditional planning methods on real-world BIM datasets. This research not only contributes a novel approach to the field of architectural design and planning but also offers practical implications for the enhancement of interior spaces in guesthouses, potentially influencing future applications of BIM technology in the hospitality industry.

Sketching Versus Digital Design Tools in Architectural Design

Sketching is a design tool that can be assumed to be ill-structured, does not offer exact solutions, is intuitive, and is open-ended in the initial stages of architectural design. Sketching creates an opportunity for architects to release their creativity and intuition, giving rise to spontaneous ideas and concepts in an organic and natural way. During the initial design phases, like in the conceptual stage of the design, designers receive aid from conventional sketching as their concepts and ideas can easily transform into tangible, real-world forms. With the development of digital design methods like CAD (computer-aided design) in pursuit of AI (artificial intelligence), it has been accepted that manual sketches are no longer the only method used in the design process, and the trend toward using new methods has begun. The diversity and evolution of tools used in architectural design, together with the integration of CAD, AI, and traditional sketching techniques, have contributed to the development of architectural design and facilitated enhanced collaboration, visualization, and efficiency across the design process. As a result, it has evolved to embrace the use of CAD, which was the first method adopted from these developments, as a basic skill in the field of architectural design education. This shift places a strong emphasis on the professional field of architectural design while also encouraging students to explore the innovative potential of CAD for design purposes. CAD presents architects with a robust platform that facilitates the creation of intricate designs and precise measurements during the initial stages of the design process. Following CAD, the development of AI-driven design tools motivates architecture students and designers to transform their concepts into concrete designs. Although it is known that each method mentioned has its own positive or negative aspects, it is not possible to say that any of them is used alone in architectural design processes. At this point, combining the design process with CAD and AI-supported design tools, as well as traditional manual sketching in architecture, helps develop a diverse and adaptable skill set in design. Integrating digital design tools into the architectural field emphasizes the enduring importance of traditional sketches, especially in terms of inspiration and conceptualization in architectural design, while also updating the design process. This document aims to explore the progression of employing diverse design tools, namely manual sketching, CAD, and AI-driven design tools, throughout the architectural design process. This paper undertakes a comparative analysis of using computational design tools instead of traditional sketching with pen and pencil, aiming to juxtapose their respective benefits and drawbacks. In conclusion, although it is not yet possible to assert the superiority of one method over the other, it is evident that traditional sketching continues to hold significant relevance and effectiveness in the design process despite its long-term use.

Research on Public Space Interior Environmental Planning and Design Method Based on BIM Topological Relationships

With the wide application of building information modeling (BIM) technology in the field of architectural design, this study aims to explore the planning and design method of public space internal environment based on BIM topological relationship. Through in-depth analysis of the data structure and spatial topological relationships of BIM models, this study proposes a public space design framework that combines user needs and environmental standards. Collect and convert relevant data of public spaces into BIM models, use BIM technology to establish detailed models of spatial elements and their topological relationships, combine spatial connectivity, line of sight, and flow simulation analysis, and consider key factors such as spatial layout, lighting, and ventilation. Realize the planning and design of indoor environments in public spaces. The experimental results indicate that the method can effectively improve the quality of public space design and promote the sustainable development of the environment. This study not only highlights the application potential of BIM in public space design, but also provides a new design methodology for the internal environmental planning of public space.

Application of mask R-CNN for building detection in UAV remote sensing images

This study aims to tackle the challenges of low accuracy in building feature extraction and insufficient details in three-dimensional (3D) modeling faced by traditional methods, particularly in complex backgrounds. To address these issues, a method for building feature extraction based on Mask Region-Convolutional Neural Network (Mask R-CNN) is proposed. This approach combines deep learning techniques with aerial images to ensure precise and efficient automatic detection and feature extraction. Urban building images are captured through aerial photography, and building outlines are annotated to create a comprehensive dataset of building features. The Mask R-CNN-based method efficiently processes and classifies the features of the dataset, generating candidate regions for further analysis. Additionally, this method demonstrates significant advantages in building feature extraction by employing the Mask R-CNN model to generate adaptive features. Comparative analysis with models such as Convolutional Neural Network (CNN), Region-based Convolutional Neural Network (R-CNN), Fast Region-based Convolutional Neural Network (Fast R-CNN), Faster Region-based Convolutional Neural Network (Faster R-CNN), and Generative Adversarial Network (GAN) indicates that Mask R-CNN exhibits superior performance in building feature extraction. The Mask R-CNN-based approach achieved approximately 95 % classification accuracy, while also showcasing strong stability and generalization capabilities. This study provides new methodologies and insights for enhancing feature extraction in aerial building imagery, offering significant reference value for the fields of architectural design and urban planning.

Implementing An Innovative Design Charrette: Creating Healing Environments for Clinicians and Patients’ Well-being

Clinicians, staff, patients, and visitors use the healthcare environment, and a deeper understanding of spatial elements that promote their well-being is necessary. However, clinical and academic nursing does not naturally fit within the field of architectural design and planning. A design charrette, an interactive and innovative approach for faculty, staff, and clinicians, offers participants a chance to be creative in merging evidence-based practice with evidence-based design principles to aid in well-being. This educational brief outlines the process and outcomes of spaces that promote well-being and restoration. The design example presented is a restorative space in a clinical unit. We describe the methods of this teaching experience and highlight the application of a design charrette for a clinical unit.

A Comprehensive Framework for Integrating Robotics and Digital Twins in Façade Perforation

In contemporary design practices, the conflict between initial design approaches and subsequent manufacturing and construction stages presents a notable challenge. To address this disparity, our study aims to establish a comprehensive digital design workflow, bridging these gaps. The authors introduce a conceptual framework that seamlessly integrates the imperatives of LEED with the realm of robotic manufacturing, specifically tailored for construction sites. The proposed methodology encompasses four distinct iFOBOT modules: iFOBOT-environment, iFOBOT-design, iFOBOT-construct, and iFOBOT-monitor. The integration of these modules allows for a holistic approach to design and construction, fostering efficient collaboration between multidisciplinary teams. To validate the efficacy of the author’s approach, we conducted an empirical study involving the creation of a double-skin facade panel perforation using this integrated process. Initial findings emphasize the enhanced constructability achieved through simulated robotic interventions utilizing a heuristic function. Moreover, this research presents a functional prototype as a tangible embodiment of the method’s practical application and potential impact on the field of architectural design and construction.

Research on Architectural Design Based on Stable Diffusion

With the rapid development of artificial intelligence technology, its application in the field of architectural design has gradually become a research hotspot. In particular, Stable Diffusion technology shows its unique advantages and potential in the production of architectural renderings, which has attracted wide attention. In this paper, the application of Stable Diffusion technology in architectural creation is deeply discussed, aiming at providing new perspectives and ideas for architectural design and promoting the innovation and development of architectural design process.

Creating sustainable and flexible architectural skin with microbial cellulose-based material: synthesis and mechanical characterization

Attaining sustainability by developing efficient architectural materials will be a suitable remedy for various environmental problems. Incorporating clean biotechnology, particularly Bacterial Cellulose (BC), into the field of Architecture Design offers a novel strategy with the objective of creating environmentally-friendly architectural materials. The key goal of this research is to investigate the synthesis of BC by cultivating kombucha SCOBY in a culture medium that has been supplemented with sugar and tea extract. The linear density, tensile strength and strain of the BC bio-film and BC composites were assessed in order to determine the material’s degree of fitness in potential applications. The tensile test showed that BC bio-film and its jute composite had tensile strengths of 5 MPa and 10 MPa respectively, indicating notable resilience and durability as a feasible substitute for conventional construction materials. The study delves deeper into the sustainability, biodegradability, and economic feasibility of BC, emphasising its potential as an independent foundational material. The incorporation of jute fibres into BC enhances its capabilities, resulting in the development of a novel composite material known as BC + jute. This composite exhibits superior mechanical and psychochemical characteristics, making it suitable for the creation of sophisticated architectural prototypes. The results of this research establish a strong foundation for the advancement of ecologically conscious architectural solutions, demonstrating the feasibility and capacity of BC in promoting sustainability within the construction sector.Keywords: Microbial Cellulose, Scopy, Architecture, Environmental-friendly, sustainability, interior design, jute fiber, biomaterials.

Application of neural networks in architectural design

The article discusses the currently topical issue of neural networks and their applications in architecture. The history of emergence and development of neural networks is overviewed, and the creation of the first prototypes that are functionally close to modern ones is analyzed. The applications of machine learning based on neural networks in the field of architectural design are identified, and a number of the most widely used methods of their use are considered. In conclusion, the methods of using machine learning for algorithmizing architectural design that have already been implemented and are relatively widespread in design consultancies are considered in more detail.

Features of learning three-dimensional modeling and visualization in Autodesk 3Ds Max

The article describes the trends in the development of three-dimensional modeling in the modern world. The main areas of human activity that actively use the possibilities of three-dimensional graphics are indicated. An analysis of the latest research on this topic in the field of architectural design has been carried out. The main advantages of computer design in Autodesk 3Ds Max are identified and argued. One of the main directions in computer design is architectural visualization, which includes both the creation of a 3D model and obtaining the final realistic image of the object. Autodesk 3Ds Max is the most versatile software product that allows architects to actively use the available wide range of tools and functions of the program when creating realistic visualization of architectural and design projects. The main stages of studying the 3Ds Max program are defined, which allow to simplify and speed up the educational and working process of modeling and visualization of architectural projects. Given the wide range of tools and functions, 3Ds Max requires a special approach to learning it. Learning three-dimensional graphics based on Autodesk 3Ds Max should include familiarization with the program interface, study of basic modeling techniques, practical exercises for modeling simple and complex objects, and work on creating a model and visualization of an architectural or design project. Mastering all these components allows the user to understand the principles of working with three-dimensional graphics, optimize and speed up the work process of creating an architectural visualization according to a specific design. Three-dimensional modeling and visualization is a promising direction of modern computer design. Optimizing the learning and workflow of visualization will help create high-quality and highly realistic images of architecture and design, as well as better develop the field of architecture as a whole.

Utilizing Machine Learning Algorithms for Architectural Design

With the development of digital technology, artificial intelligence has brought a paradigm shift in numerous fields. Machine learning is used as a decision making tool to analyze large data and produce output data with similar characteristics. This paper aims to explore and analyze the influence of artificial intelligence on the architectural designing process. In the second section, traditional methods of architectural design are observed. The third section explains the methodology of machine learning and its current limitations. The fourth section investigates several real world applications of machine learning in designing architecture, and the last section speculates on the potential directions that the field of architectural design could take as machine learning continues to advance.

Low energy consumption layout of exhibition buildings in Yangtze River Delta region

The issue of high energy consumption in exhibition buildings has long been a focal point in the field of architectural design. However, current energy consumption assessments for exhibition buildings mainly focus on post-construction evaluations, lacking corresponding guidance during the initial design phase. To address this issue, this study selected 48 well-known exhibition buildings both domestically and internationally as research subjects. Utilizing scatter plot curve fitting, it was discovered that there exists a nonlinear quadratic relationship between the building area of the first floor and the courtyard area. Based on this relationship, four typical layouts were established to match the climatic characteristics of Hangzhou, a representative region in the Yangtze River Delta of China. Taking into account regional architectural features, the study specifically examined the impact of different orientations and window-to-wall ratios on energy consumption levels. The influence of these factors on energy consumption was analyzed using the DesignBuilder software. The results revealed that there exists an optimal window-to-wall ratio for exhibition buildings, with parallel, L-shaped enclosed south-facing courtyards, and U-shaped enclosed east-facing courtyards showing greater energy efficiency. This research provides guidance for designing exhibition buildings that are energy-efficient and foster a harmonious indoor–outdoor relationship.

Areas of Study on Flexibility Housing for Sustainability: Bibliometric Analysis of Cross-regional Trends

Urbanization has led to an uneven distribution of adequate, safe, and affordable housing as the global population converges on cities. Many cities are faced with significant housing price disparities. Housing flexibility can reduce the cost of housing and meet the human need for comfort, health, safety, and a sense of community in housing, in line with the UN Sustainable Development Goals and Principles. As a result, experts and academics in the architectural design field are increasingly focusing their interest on this matter. This paper offers a bibliometric analysis of all Scopus database publications pertaining to housing flexibility from 2010 to 2021 and energy efficiency characterization. The status of research on housing flexibility in sustainability research is further discussed. The study uncovers yearly research publications, average citation rates, locally cited literature, prominent information sources, corresponding author countries, domestic scientific output, and a global representation of international collaborations. Overall, this research offers an in-depth description of the subjects and methodologies within the most frequently cited articles.
 
 Received: 1 September 2023 / Accepted: 20 December 2023 / Published: 5 January 2024

The Applications of Generative Adversarial Networks in Architecture Design: A Systematic Review

Purpose: To review and analyze the research status of the application of generative adversarial networks (GANs) in the field of architecture design. Methods: This study followed the latest PRISMA guidelines and systematically collected relevant research literature from domestic and international sources. In-depth analysis was conducted on 95 representative Chinese and English language articles. During the analysis process, three dimensions of intelligent architectural generation methods were comprehensively and deeply explored: the data application scale, algorithm type, and architectural design process. Results: (1) GANs have been applied to various processes in architectural design practice, from design generation, development, and evaluation to final solution expression; (2) GANs can be applied at different architectural scales, ranging from large-scale complex functional buildings to refined layout designs of residential units; (3) the appearance of GANs enables designers to quickly present design results at various stages, greatly improving work efficiency; and (4) at present, GANs also have many shortcomings, mainly reflected in the accuracy of the data and the usability of tools. Conclusion: Improvements in computer performance and the enrichment of data resources have promoted the widespread application of intelligent architectural generation methods. GANs have great potential in the field of architectural design and can provide a more efficient, flexible, and diverse design process. However, further research and development are needed to address the challenges and limitations of using GANs in this field.

Development strategies for unmanned aerial vehicles in the construction industry

The paper provides research on the use of modern drones or unmanned aerial vehicles (UAVs) for effective work in the fields of architectural design, construction management and monitoring. The authors examined the theoretical foundations and practical features of modern unmanned aerial vehicles (UAVs) or drones. Statistics on the structure of the global UAV market are presented. The detailed description of the primary applications of drones in the construction sector is provided. The main advantages of new technologies over traditional ones are noted. The paper pays attention to the issues of increasing safety at construction sites. The introduction of innovative technologies is necessary for the development of the construction industry. The use of such technologies will reduce task completion times, improve work quality, improve safety standards and reduce costs. At the same time, the authors noted some shortcomings of modern unmanned technologies. In the conclusion of the paper, insights are presented regarding the future possibilities for integrating unmanned aerial vehicles in construction projects.

Parametric Assessment to Evaluate and Compare the Carbon Footprint of Diverse Manufacturing Processes for Building Complex Surfaces

At present, building design is faced with a need to properly manage complex geometries and surfaces. This fact is not only driven by the increased demand for visually stunning spaces but also stems from the rise of new design paradigms, such as “user-centred design”, that include bespoke optimization approaches. Nevertheless, the escalating adoption of customized components and one-off solutions raises valid concerns regarding the optimal use of energy and resources in this production paradigm. This study focuses on the Life Cycle Assessment of a novel Cement–Textile Composite (CTC) patented material. It combines a synthetic reinforcing textile with a customized concrete matrix, to generate rigid elements that are able to statically preserve complex spatial arrangements, particularly double-curvature surfaces. Moreover, the CTC offers a low-volume cost-effective alternative for custom-made cladding applications. The study performed a comparative carbon footprint assessment of the CTC production process in contrast to other technologies, such as CNC milling and 3D printing. To facilitate meaningful comparisons among diverse construction alternatives and to derive generalized data capable of characterizing their overall capacity, independent of specific production configurations, the present study implemented a generalized parametric shape of reference defined as a bounding box (BBOX), which encloses the volume of the target shape. Comparing different production technologies of the same shape with the same BBOX results in a significant carbon saving, up to 9/10th of the carbon footprint, when the CTC technology is adopted. The study therefore highlights the potential environmental advantages of CTC in the fields of architectural design and building engineering.

Simulation-Driven and Optimization-Based Design of an Architectural Building: A Case Study of a Space Tourism Building in the UAE

In the constantly changing field of architectural design and meeting the evolving demands of the space tourism industry, this study presents a case study focused on the design of a space tourism building in Sharjah, United Arab Emirates (UAE). The main objective of this study is to showcase the integration of simulation-driven and optimization-based methodologies in architectural design to anticipate forthcoming challenges and resolve design-related issues or constraints. This study employs a range of computational tools to optimize various design parameters, including sun path, radiation, shadow, outdoor comfort, and wind simulation, to conduct a more thorough assessment in the process of choosing the best-optimized design. In addition, a finite element analysis (FEA) was carried out to gain insights into the structural behavior of the chosen design under diverse physical conditions. This integration marks a paradigm shift in how architectural projects are conceptualized, developed, and realized by addressing complex challenges and enhancing the functionality, sustainability, and performance of architectural buildings. The findings of this case study demonstrate and prove the potential of simulation-driven and optimization-based design approaches in determining the future of architectural designs. As the UAE strives to become a center for space-related activities, this research helps to drive the realization of cutting-edge, sustainable, and user-centric architectural solutions, paving the way for the next generation of space tourism facilities.

The role of visual thinking in educational development: architectural design

ABSTRACT Artistic media and techniques should be viewed as tools for solving problems in the field of architectural design. Only visually literate architect is able to give successfully create an architectural composition. The key to solving it does not exist, otherwise all compositions would be successful. Composition will be successful depending on the author’s approach to work. Therefore, the research of visual composition is more important for students of architecture than the traditional approach to the works of art, where instead of the creative idea, the focus is on skill and technique. As far as the authors know, there are no scientific works that connect visual literacy, creativity, architectural education and architectural design in this way. In order to improve the program of studies in architecture in Niš, this research was conducted through several experiments (creativity tests). Results of the research show that the students did not have enough knowledge about creativity when enrolling at the faculty. Nevertheless, it is possible to improve their creativity by changing the structure of curriculum. Recommendations for improving practical teaching are based on the overall results.

프랙탈 기하학 차원에서 본 자하 하디드 건축작품의 공간형태특성에 관한 연구

This study utilizes fractal geometry, which is evaluated as a new alternative in the field of science, to interpret and apply complex and diverse architectural phenomena in the field of architectural design to create multi-dimensional space forms and respond to users' unpredictable and flexible demands. We want to explore the possibilities of whether it can be used with various algorithms that can be used.
 In this process, we tried to understand the concept, characteristics, and compositional principles of fractal geometry, and to interpret the creation process of spatial forms in Zaha Hadid's architectural works erected after the 2000s from the perspective of fractal geometry. In addition, we tried to explore the possibility of application to contemporary architecture by proposing the aspects of the architect's fractal characteristics through diagrams and analyzing the proportion of utilization of various algorithms to propose them as a mechanism for creating spatial forms.

Feature Recognition of Regional Architecture Forms Based on Machine Learning: A Case Study of Architecture Heritage in Hubei Province, China

Architecture form has been one of the hot areas in the field of architectural design, which reflects regional architectural features to some extent. However, most of the existing methods for architecture form belong to the field of qualitative analysis. Accordingly, quantitative methods are urgently required to extract regional architectural style, identify architecture form, and to and further provide the quantitative evaluation. Based on machine learning technology, this paper proposes a novel method to quantify the feature, form, and evaluation of regional architectures. First, we construct a training dataset—the Chinese Ancient Architecture Image Dataset (CAAID), in which each image is labeled by some experts as having at least one of three typical features such as “High Pedestal”, “Deep Eave” and “Elegant Gable”. Second, the CAAID is used to train our neural network model to identify three kinds of architectural features. In order to reveal the traditional forms of regional architecture in Hubei, we built the Hubei Architectural Heritage Image Dataset (HAHID) as our object dataset, in which we collected architectural images from four different regions including southeast, northeast, southwest, and northwest Hubei. Our object dataset is then fed into our neural network model to predict the typical features for those four regions in Hubei. The obtained quantitative results show that the feature identification of the architectural form is consistent with that of regional architectures in Hubei. Moreover, we can observe from the quantitative results that four geographic regions in Hubei show variation; for instance, the feature of the ‘elegant gable’ in southeastern Hubei is more evident, while the “Deep Eave” in the northwest is more evident. In addition, some new building images are selected to feed into our neural network model and the output quantitative results can effectively identify the corresponding feature style of regional architectures in Hubei. Therefore, our proposed method based on machine learning can be used not only as a quantitative tool to extract features of regional architectures, but also as an effective approach to evaluate architecture forms in the urban renewal process.